Open Access
SHS Web Conf.
Volume 132, 2022
Innovative Economic Symposium 2021 – New Trends in Business and Corporate Finance in COVID-19 Era (IES2021)
Article Number 01017
Number of page(s) 10
Section New Trends in Business and Corporate Finance in COVID-19 Era
Published online 05 January 2022
  1. C. Breazeal, Toward sociable robots. Robotics and autonomous systems, 42, 3-4, 167–175 (2003) [CrossRef] [Google Scholar]
  2. M. Mori, Bukimi no tani [the uncanny valley]. Energy, 7, 33–35 (1970) [Google Scholar]
  3. T. Fong, I. Nourbakhsh, K. Dautenhahn, A survey of socially interactive robots. Robotics and autonomous systems, 42, (3-4), 143–166 (2003) [CrossRef] [Google Scholar]
  4. F. Hegel, C. Muhl, B. Wrede, M. Hielscher-Fastabend, G. Sagerer, Understanding social robots. IEEE Trans. In 2009 Second International Conferences on Advances in Computer-Human Interactions, pp. 169–174 (2009) [Google Scholar]
  5. C. Bartneck, J. Forlizzi, A design-centred framework for social human-robot interaction. In RO-MAN 2004. 13th IEEE international workshop on robot and human interactive communication, pp. 591–594 (2004) [Google Scholar]
  6. K. Kim, D. Park, Design Evaluation Mode Based on Consumer Valuesl: Three-Step Approach from Product Attributes. Perceived Attributes, to Consumer Value,” Intelligence Information Research, 23(4), 57–76 (2017) [Google Scholar]
  7. M. A. Salichs, A. Castro-Gonzalez, E. Salichs, E. Fernandez-Rodicio, M. Maroto-Gomez, J. J. Gamboa-Montero, M. Malfaz, Mini: A New Social Robot for the Elderly. International Journal of Social Robotics, 1–19 (2020) [Google Scholar]
  8. A. A. Ramirez-Duque, T. Bastos, M. Munera, C. A. Cifuentes, A. Frizera-Neto, Robot-Assisted Intervention for children with special needs: A comparative assessment for autism screening. Robotics and Autonomous Systems, 127, 103484 (2020) [CrossRef] [Google Scholar]
  9. H. Chen, H. W. Park, C. Breazeal, Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement. Computers and Education, 150, 103836 (2020) [CrossRef] [Google Scholar]
  10. J. Wirtz, P. G. Patterson, W. H. Kunz, T. Gruber, V. N. Lu, S. Paluch, A. Martins, Brave new world: service robots in the frontline. Journal of Service Management, 29(5) (2018) [Google Scholar]
  11. G. McLean, K. Osei-Frimpong, Hey Alexa examine the variables influencing the use of artificial intelligent in-home voice assistants. Computers in Human Behavior, 99, 2837 (2019) [CrossRef] [Google Scholar]
  12. J. Borenstein, R. Arkin, Robotic nudges: the ethics of engineering a more socially just human being. Science and engineering ethics, 22(1), 31–46 (2016) [CrossRef] [Google Scholar]
  13. J. Borenstein, R. C. Arkin, Nudging for good: robots and the ethical appropriateness of nurturing empathy and charitable behavior. Ai and Society, 32(4), 499–507 (2017) [CrossRef] [Google Scholar]
  14. B. R. Duffy, Anthropomorphism and the social robot. Robotics and autonomous systems, 42(3-4), 177–190 (2003) [CrossRef] [Google Scholar]
  15. M. L. Walters, D. S. Syrdal, K. Dautenhahn, R. Te Boekhorst, K. L. Koay, Avoiding the uncanny valley: robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion. Autonomous Robots, 24(2), 159178 (2008) [CrossRef] [Google Scholar]
  16. M. Blow, K. Dautenhahn, A. Appleby, C. L. Nehaniv, D. C. Lee, Perception of robot smiles and dimensions for human-robot interaction design. IEEE Trans. In ROMAN 2006-The 15th IEEE International Symposium on Robot and Human Interactive Communication, 469–474 (2006) [CrossRef] [Google Scholar]
  17. J. M. Park, K. S. Koo, S. S. Hong, The Study on the Proportional Preference for Humanoid Robot. Journal of Digital Design, 14(2), 725–734 (2014) [CrossRef] [Google Scholar]
  18. J. Fink, Anthropomorphism and human likeness in the design of robots and human-robot interaction. In International Conference on Social Robotics, pp. 199–208. Springer, Berlin, Heidelberg (2012) [CrossRef] [Google Scholar]
  19. B. S. Kim, S. I. Kim, User Preference for the Personification of Public Service Robot. Journal of Digital Convergence, 18(2), 361–366 (2020) [Google Scholar]
  20. C. Breazeal, Emotion and sociable humanoid robots. International journal of human-computer studies, 59(1-2), 119–155 (2003) [CrossRef] [Google Scholar]
  21. S. Kim, D. Oh, The Kinesics for emotional expression in the household social robot -Focus on the head movement of the robot. The Korean Society of Science & Art, 35, 6982 (2018) [Google Scholar]
  22. D. S. Park, Y. H. Pan, A Study on User’s Perception and Preference Based on Emotions Expressed through The Eyes of a Social Robot. Journal of Communication Design, 67, 24–35 (2019) [Google Scholar]
  23. S. Jang, H. K. Cho, Analysis of User’s Eye Gaze Distribution while Interacting with a Robotic Character. Journal of Korea Robotics Society, 14(1), 74–79 (2019) [CrossRef] [Google Scholar]
  24. Y. Liu, F. Li, L. H. Tang, Z. Lan, J. Cui, O. Sourina, C. H. Chen, Detection of humanoid robot design preferences using EEG and eye tracker. IEEE Trans. In 2019 International Conference on Cyberworlds, 219–224 (2019) [Google Scholar]
  25. M. Y. Choi, A Study on the Method of Eye Tracking Analysis Based on the Properties in Visual Perception of User -With Emphasis on the Development of Analysis-Framework for Product Design. Journal of Korean Society of design science, 16(4), 197206 (2003) [Google Scholar]
  26. E. S. Seo, The Suggestion for the Design of Eye Tracker to Promote the Study on the Gaze Tracking Interface. Journal of Cultural Product and Design, 50, 145–152 (2017) [CrossRef] [Google Scholar]
  27. R. J. Jacob, and K. S. Karn, Eye tracking in human-computer interaction and usability research: Ready to deliver the promises. In The mind’s eye, 573–605 (2003) [CrossRef] [Google Scholar]
  28. J. H. Kim, J. Y. Kim, Characteristics of Visual Perception for the Bluetooth Headset Image Based on Eye-Tracking Experiment. Journal of The Korean Society of Living Environmental System, 24(3), 433–445 (2017) [CrossRef] [Google Scholar]
  29. S. W. Jeong, Designing Facial Expressions of an Educational Assistant Robot by Contextual Methods. Archives of Design Research, 26(2), 409–435 (2013) [Google Scholar]
  30. Y. J. Oh, Y. S. Shin, J. H. Lee, J. W. Kim, A Study on Interaction Design of Companion Robots Based on Emotional State. Journal ofDigital Contents Society, 18(7), 1293–1301 (2017) [Google Scholar]
  31. D. Kim, S. Choi, The Effect of Expressions of Self-consciousness in Social Robots during Social Attraction. Journal of KIISE, 46(7), 653–663 (2019) [CrossRef] [Google Scholar]

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